Overview

Dataset statistics

Number of variables56
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.0 KiB
Average record size in memory450.6 B

Variable types

Text1
Boolean55

Alerts

LTTR_INTRST_AT has constant value ""Constant
REVISN_INTRST_AT has constant value ""Constant
MKUP_INTRST_AT has constant value ""Constant
STAR_INTRST_AT has constant value ""Constant
INFANT_INTRST_AT has constant value ""Constant
CONATN_INTRST_AT has constant value ""Constant
APLCTN_ACT_MDLC_SVC_AT has constant value ""Constant
MOVIE_INTRST_AT is highly imbalanced (85.9%)Imbalance
ANM_INTRST_AT is highly imbalanced (85.9%)Imbalance
GAG_INTRST_AT is highly imbalanced (85.9%)Imbalance
ENVRN_INTRST_AT is highly imbalanced (67.3%)Imbalance
MEMO_INTRST_AT is highly imbalanced (85.9%)Imbalance
HEALTH_INTRST_AT is highly imbalanced (85.9%)Imbalance
SCNC_TCHNLGY_INTRST_AT is highly imbalanced (67.3%)Imbalance
DTFD_INTRST_AT is highly imbalanced (59.8%)Imbalance
PHOTO_INTRST_AT is highly imbalanced (53.1%)Imbalance
CAR_INTRST_AT is highly imbalanced (85.9%)Imbalance
LVLH_INTRST_AT is highly imbalanced (53.1%)Imbalance
MVM_INTRST_AT is highly imbalanced (85.9%)Imbalance
APLCTN_ACT_ESTT_SVC_AT is highly imbalanced (59.8%)Imbalance
APLCTN_ACT_HEALTH_BTY_AT is highly imbalanced (53.1%)Imbalance
APLCTN_ACT_FNC_NVSTM_AT is highly imbalanced (59.8%)Imbalance
APLCTN_ACT_SYS_TOOL_AT is highly imbalanced (75.8%)Imbalance
APLCTN_ACT_MOBILE_SHOPNG_AT is highly imbalanced (53.1%)Imbalance
APLCTN_ACT_MOBILE_SNS_AT is highly imbalanced (85.9%)Imbalance
APLCTN_ACT_MOBILE_MVP_AT is highly imbalanced (53.1%)Imbalance
APLCTN_ACT_THEME_DECOR_AT is highly imbalanced (75.8%)Imbalance
USER_KEY_NM has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:13:45.307796
Analysis finished2023-12-10 10:13:45.924885
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

USER_KEY_NM
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-10T19:13:46.164551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1800
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st rowb4e8669d-1d02-40fb-ae16-5ad043323219
2nd rowa2c0666a-bb9b-491b-b186-2bccf73f846a
3rd row260c40a8-2188-40d2-af55-b99f2184e72f
4th rowfa8a5399-60f9-4bc3-87fe-08d9625e9046
5th row833ae11b-0881-4f9c-a55f-14ba564ee4f5
ValueCountFrequency (%)
b4e8669d-1d02-40fb-ae16-5ad043323219 1
 
2.0%
3705c969-ee33-40ab-be4a-4f2b7114eb5c 1
 
2.0%
12a40052-2583-4395-b033-1422023d1c7f 1
 
2.0%
6fc3f855-6f1d-45ee-88e5-69e7f323ee63 1
 
2.0%
95f605ce-ef7e-492d-bdc6-085965c223eb 1
 
2.0%
4cf96dd0-6b2e-4b82-97ec-d30508ecd97e 1
 
2.0%
25a787a9-2bc5-459e-8ddf-e3e9d82bd28e 1
 
2.0%
a4657ca4-be7d-4bea-a1af-79c4a2c87ca7 1
 
2.0%
c07ee967-574a-42a6-a272-b4cafe03cf6e 1
 
2.0%
0ee40e0a-1021-41ea-82f5-ef75d4bcdb54 1
 
2.0%
Other values (40) 40
80.0%
2023-12-10T19:13:46.811024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 200
 
11.1%
4 136
 
7.6%
a 119
 
6.6%
8 108
 
6.0%
9 107
 
5.9%
0 101
 
5.6%
f 100
 
5.6%
7 98
 
5.4%
6 98
 
5.4%
5 98
 
5.4%
Other values (7) 635
35.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1021
56.7%
Lowercase Letter 579
32.2%
Dash Punctuation 200
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 136
13.3%
8 108
10.6%
9 107
10.5%
0 101
9.9%
7 98
9.6%
6 98
9.6%
5 98
9.6%
1 97
9.5%
3 91
8.9%
2 87
8.5%
Lowercase Letter
ValueCountFrequency (%)
a 119
20.6%
f 100
17.3%
b 96
16.6%
e 96
16.6%
c 87
15.0%
d 81
14.0%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1221
67.8%
Latin 579
32.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 200
16.4%
4 136
11.1%
8 108
8.8%
9 107
8.8%
0 101
8.3%
7 98
8.0%
6 98
8.0%
5 98
8.0%
1 97
7.9%
3 91
7.5%
Latin
ValueCountFrequency (%)
a 119
20.6%
f 100
17.3%
b 96
16.6%
e 96
16.6%
c 87
15.0%
d 81
14.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 200
 
11.1%
4 136
 
7.6%
a 119
 
6.6%
8 108
 
6.0%
9 107
 
5.9%
0 101
 
5.6%
f 100
 
5.6%
7 98
 
5.4%
6 98
 
5.4%
5 98
 
5.4%
Other values (7) 635
35.3%
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
40 
True
10 
ValueCountFrequency (%)
False 40
80.0%
True 10
 
20.0%
2023-12-10T19:13:47.063238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

LTTR_INTRST_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T19:13:47.237143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

MOVIE_INTRST_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T19:13:47.379447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

ANM_INTRST_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T19:13:47.530506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

GAG_INTRST_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T19:13:47.675619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

ENVRN_INTRST_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
47 
True
 
3
ValueCountFrequency (%)
False 47
94.0%
True 3
 
6.0%
2023-12-10T19:13:47.829706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

MEMO_INTRST_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T19:13:47.983499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

HEALTH_INTRST_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T19:13:48.136156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SCNC_TCHNLGY_INTRST_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
47 
True
 
3
ValueCountFrequency (%)
False 47
94.0%
True 3
 
6.0%
2023-12-10T19:13:48.275271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
44 
True
ValueCountFrequency (%)
False 44
88.0%
True 6
 
12.0%
2023-12-10T19:13:48.427531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
43 
True
ValueCountFrequency (%)
False 43
86.0%
True 7
 
14.0%
2023-12-10T19:13:48.586446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

DTFD_INTRST_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
46 
True
 
4
ValueCountFrequency (%)
False 46
92.0%
True 4
 
8.0%
2023-12-10T19:13:48.710170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

REVISN_INTRST_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T19:13:48.828414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

MKUP_INTRST_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T19:13:48.932925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

STAR_INTRST_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T19:13:49.035474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

INFANT_INTRST_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T19:13:49.154791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

PHOTO_INTRST_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
45 
True
ValueCountFrequency (%)
False 45
90.0%
True 5
 
10.0%
2023-12-10T19:13:49.282470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CAR_INTRST_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T19:13:49.412412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
26 
False
24 
ValueCountFrequency (%)
True 26
52.0%
False 24
48.0%
2023-12-10T19:13:49.525491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

LVLH_INTRST_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
45 
True
ValueCountFrequency (%)
False 45
90.0%
True 5
 
10.0%
2023-12-10T19:13:49.654327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
40 
True
10 
ValueCountFrequency (%)
False 40
80.0%
True 10
 
20.0%
2023-12-10T19:13:49.787939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
27 
True
23 
ValueCountFrequency (%)
False 27
54.0%
True 23
46.0%
2023-12-10T19:13:49.905827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
43 
True
ValueCountFrequency (%)
False 43
86.0%
True 7
 
14.0%
2023-12-10T19:13:50.015113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
31 
True
19 
ValueCountFrequency (%)
False 31
62.0%
True 19
38.0%
2023-12-10T19:13:50.131510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CONATN_INTRST_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T19:13:50.255284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
41 
True
ValueCountFrequency (%)
False 41
82.0%
True 9
 
18.0%
2023-12-10T19:13:50.383281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
42 
True
ValueCountFrequency (%)
False 42
84.0%
True 8
 
16.0%
2023-12-10T19:13:50.518876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
43 
True
ValueCountFrequency (%)
False 43
86.0%
True 7
 
14.0%
2023-12-10T19:13:50.654149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
43 
True
ValueCountFrequency (%)
False 43
86.0%
True 7
 
14.0%
2023-12-10T19:13:50.817459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

MVM_INTRST_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T19:13:50.942762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
31 
True
19 
ValueCountFrequency (%)
False 31
62.0%
True 19
38.0%
2023-12-10T19:13:51.065550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
32 
False
18 
ValueCountFrequency (%)
True 32
64.0%
False 18
36.0%
2023-12-10T19:13:51.525415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
44 
False
ValueCountFrequency (%)
True 44
88.0%
False 6
 
12.0%
2023-12-10T19:13:51.666933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
37 
True
13 
ValueCountFrequency (%)
False 37
74.0%
True 13
 
26.0%
2023-12-10T19:13:51.805942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

APLCTN_ACT_ESTT_SVC_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
46 
True
 
4
ValueCountFrequency (%)
False 46
92.0%
True 4
 
8.0%
2023-12-10T19:13:52.050764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

APLCTN_ACT_HEALTH_BTY_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
45 
True
ValueCountFrequency (%)
False 45
90.0%
True 5
 
10.0%
2023-12-10T19:13:52.236474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
25 
True
25 
ValueCountFrequency (%)
False 25
50.0%
True 25
50.0%
2023-12-10T19:13:52.408907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

APLCTN_ACT_FNC_NVSTM_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
46 
False
 
4
ValueCountFrequency (%)
True 46
92.0%
False 4
 
8.0%
2023-12-10T19:13:52.578737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
25 
False
25 
ValueCountFrequency (%)
True 25
50.0%
False 25
50.0%
2023-12-10T19:13:52.743787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
26 
True
24 
ValueCountFrequency (%)
False 26
52.0%
True 24
48.0%
2023-12-10T19:13:52.891093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
35 
True
15 
ValueCountFrequency (%)
False 35
70.0%
True 15
30.0%
2023-12-10T19:13:53.044108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
35 
False
15 
ValueCountFrequency (%)
True 35
70.0%
False 15
30.0%
2023-12-10T19:13:53.180231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
41 
False
ValueCountFrequency (%)
True 41
82.0%
False 9
 
18.0%
2023-12-10T19:13:53.342428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
27 
True
23 
ValueCountFrequency (%)
False 27
54.0%
True 23
46.0%
2023-12-10T19:13:53.481914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
27 
True
23 
ValueCountFrequency (%)
False 27
54.0%
True 23
46.0%
2023-12-10T19:13:53.629086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

APLCTN_ACT_SYS_TOOL_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
48 
False
 
2
ValueCountFrequency (%)
True 48
96.0%
False 2
 
4.0%
2023-12-10T19:13:53.756660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
36 
False
14 
ValueCountFrequency (%)
True 36
72.0%
False 14
 
28.0%
2023-12-10T19:13:53.891865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

APLCTN_ACT_MDLC_SVC_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T19:13:53.999576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

APLCTN_ACT_MOBILE_SHOPNG_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
45 
False
ValueCountFrequency (%)
True 45
90.0%
False 5
 
10.0%
2023-12-10T19:13:54.128135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

APLCTN_ACT_MOBILE_SNS_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
49 
False
 
1
ValueCountFrequency (%)
True 49
98.0%
False 1
 
2.0%
2023-12-10T19:13:54.244237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

APLCTN_ACT_MOBILE_MVP_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
45 
False
ValueCountFrequency (%)
True 45
90.0%
False 5
 
10.0%
2023-12-10T19:13:54.378721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
35 
False
15 
ValueCountFrequency (%)
True 35
70.0%
False 15
30.0%
2023-12-10T19:13:54.505970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
44 
True
ValueCountFrequency (%)
False 44
88.0%
True 6
 
12.0%
2023-12-10T19:13:54.639215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
40 
True
10 
ValueCountFrequency (%)
False 40
80.0%
True 10
 
20.0%
2023-12-10T19:13:54.753309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

APLCTN_ACT_THEME_DECOR_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
48 
True
 
2
ValueCountFrequency (%)
False 48
96.0%
True 2
 
4.0%
2023-12-10T19:13:54.886431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

USER_KEY_NMOFCRK_INTRST_ATLTTR_INTRST_ATMOVIE_INTRST_ATANM_INTRST_ATGAG_INTRST_ATENVRN_INTRST_ATMEMO_INTRST_ATHEALTH_INTRST_ATSCNC_TCHNLGY_INTRST_ATNVSTM_INTRST_ATTOUR_INTRST_ATDTFD_INTRST_ATREVISN_INTRST_ATMKUP_INTRST_ATSTAR_INTRST_ATINFANT_INTRST_ATPHOTO_INTRST_ATCAR_INTRST_ATSCACONN_INTRST_ATLVLH_INTRST_ATFSHN_INTRST_ATMVP_INTRST_ATCPRN_PRCHS_INTRST_ATINTNT_PRCHS_INTRST_ATCONATN_INTRST_ATSTUDY_INTRST_ATMUSIC_INTRST_ATVDGAME_INTRST_ATREAD_INTRST_ATMVM_INTRST_ATINFO_INTRST_ATAPLCTN_ACT_OFCRK_BSNS_ATAPLCTN_ACT_TRNSPORT_SVC_ATAPLCTN_ACT_TLPHON_COMMN_ATAPLCTN_ACT_ESTT_SVC_ATAPLCTN_ACT_HEALTH_BTY_ATAPLCTN_ACT_EDC_STUDY_ATAPLCTN_ACT_FNC_NVSTM_ATAPLCTN_ACT_TURSM_SVC_ATAPLCTN_ACT_PHT_REVISN_ATAPLCTN_ACT_CAR_SVC_ATAPLCTN_ACT_LVLH_SVC_ATAPLCTN_ACT_UTILITY_TOOL_ATAPLCTN_ACT_MOBILE_VDGAME_ATAPLCTN_ACT_DGTL_READ_ATAPLCTN_ACT_SYS_TOOL_ATAPLCTN_ACT_NEWS_INFO_ATAPLCTN_ACT_MDLC_SVC_ATAPLCTN_ACT_MOBILE_SHOPNG_ATAPLCTN_ACT_MOBILE_SNS_ATAPLCTN_ACT_MOBILE_MVP_ATAPLCTN_ACT_MOBILE_MUSIC_ATAPLCTN_ACT_INFANT_ATAPLCTN_ACT_SMRT_DEVICE_ATAPLCTN_ACT_THEME_DECOR_AT
0b4e8669d-1d02-40fb-ae16-5ad043323219NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYNNYNYYYYYYYNYYNYYYYNYN
1a2c0666a-bb9b-491b-b186-2bccf73f846aNNNYNNNNNNNNNNNNNNYNYYYYNNYNYNYYYNNNNYNYNYNNYYYNYYYYYNN
2260c40a8-2188-40d2-af55-b99f2184e72fNNNNNNNNNNNNNNNNNNYNNYNNNNNNNNYNNNNNNYNYNNYNNYYNYYYNNNN
3fa8a5399-60f9-4bc3-87fe-08d9625e9046YNNNNYNNNNYYNNNNYNYNYYNYNYYNNNYYYYYNNYYYNYYNYYNNYYYNNNN
4833ae11b-0881-4f9c-a55f-14ba564ee4f5YNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYYNNNYYYNNYYNYYYNYYYYYNN
5e3678034-1a6d-439b-9de1-c484392adb20NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYYNNNNYNNNYNYNYNNNYNNNNN
6e34987dc-298a-4942-97ed-b2878668aa82NNNNNNNNNNNNNNNNYNYNYYNYNNNNNNYYYYNNYYYYYYYYNYYNYYYYYNN
703a0a413-86d3-40f8-ae9b-805fcf7da558YNNNNNNNNYNNNNNNNNYNNYNYNNYYNNYYYNNNYYNNNYYYYYYNYYYYNNN
84925a96a-1842-495a-ad5a-60c3b158c565NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYNNNNYYYNNYNNYNNNYYYNYN
9916d3078-d0ab-4130-be30-259777adf301NNNNNNNYNNNNNNNNNNYNNYNNNNYNNNNYYNNYYYYYNYYNNYYNYYYYNNN
USER_KEY_NMOFCRK_INTRST_ATLTTR_INTRST_ATMOVIE_INTRST_ATANM_INTRST_ATGAG_INTRST_ATENVRN_INTRST_ATMEMO_INTRST_ATHEALTH_INTRST_ATSCNC_TCHNLGY_INTRST_ATNVSTM_INTRST_ATTOUR_INTRST_ATDTFD_INTRST_ATREVISN_INTRST_ATMKUP_INTRST_ATSTAR_INTRST_ATINFANT_INTRST_ATPHOTO_INTRST_ATCAR_INTRST_ATSCACONN_INTRST_ATLVLH_INTRST_ATFSHN_INTRST_ATMVP_INTRST_ATCPRN_PRCHS_INTRST_ATINTNT_PRCHS_INTRST_ATCONATN_INTRST_ATSTUDY_INTRST_ATMUSIC_INTRST_ATVDGAME_INTRST_ATREAD_INTRST_ATMVM_INTRST_ATINFO_INTRST_ATAPLCTN_ACT_OFCRK_BSNS_ATAPLCTN_ACT_TRNSPORT_SVC_ATAPLCTN_ACT_TLPHON_COMMN_ATAPLCTN_ACT_ESTT_SVC_ATAPLCTN_ACT_HEALTH_BTY_ATAPLCTN_ACT_EDC_STUDY_ATAPLCTN_ACT_FNC_NVSTM_ATAPLCTN_ACT_TURSM_SVC_ATAPLCTN_ACT_PHT_REVISN_ATAPLCTN_ACT_CAR_SVC_ATAPLCTN_ACT_LVLH_SVC_ATAPLCTN_ACT_UTILITY_TOOL_ATAPLCTN_ACT_MOBILE_VDGAME_ATAPLCTN_ACT_DGTL_READ_ATAPLCTN_ACT_SYS_TOOL_ATAPLCTN_ACT_NEWS_INFO_ATAPLCTN_ACT_MDLC_SVC_ATAPLCTN_ACT_MOBILE_SHOPNG_ATAPLCTN_ACT_MOBILE_SNS_ATAPLCTN_ACT_MOBILE_MVP_ATAPLCTN_ACT_MOBILE_MUSIC_ATAPLCTN_ACT_INFANT_ATAPLCTN_ACT_SMRT_DEVICE_ATAPLCTN_ACT_THEME_DECOR_AT
40251ed101-f479-4703-9418-9d6bb7254bbdYNNNNNNNNNNNNNNNNNYYNNNYNYNYYNYYYNNNYYNYYYYYYYYNYYYYNYN
416ae6bdf4-a304-490f-b787-30f2c679c872NNNNNNNNYNNNNNNNNNNNYNNNNNNNNNNYYNNYYYYYNYYNNYYNYYYYNYN
428dbc51be-9f30-4bb5-8ab0-eff6e849d47fNNNNNNNNYNNNNNNNNNNNNNNNNNNNNNNYYNYNYYNNYYYNYYYNYYYNNYN
43f7302716-b5a8-4803-b28a-7403567eccf1NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYYNNNNYYNNYYYNYYNYYYYNNN
449d86f578-a72c-4836-87f9-af63ffcb7841NNNNNNNNNNNNNNNNNNYNNNNNNNYNNNNNYNNNNYNNNNYYNYYNYYYYNNN
4507a5b919-1393-43cd-8dda-1bbf11c23005YNNNNNNNNNNNNNNNNNNNNYNNNNNNNNNYYNNNYYYNNYYYYYYNYYYYNNN
4610d02645-adee-4fe2-ba2f-e99dfe75b8a0NNNNNNNNNNNNNNNNNNYNNYNNNNNNNNNNYYNNYNNYYNYYNYYNYYYNNNN
477ffebd32-6a98-4f5d-a06a-987e48aca1c1NNNNNNNNNNYYNNNNYNNNYYNYNNNNNNNYYNNYYYYYNYYNNYYNYYYYYYN
4812a40052-2583-4395-b033-1422023d1c7fNNNNNNNNNNNNNNNNNNYNNYNYNNNNYNYYYYNNNYNNNNNYNYYNYYYYNNN
49417c0c38-cd35-4401-8117-5147db69ac93NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYNNNNNNNNNYNNNYYNNYYNNNN